Tomáš Vojíř
Tomáš Vojíř
Center for Machine Perception, Czech Technical University in Prague
Verified email at cmp.felk.cvut.cz - Homepage
Title
Cited by
Cited by
Year
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
16122015
Discriminative correlation filter with channel and spatial reliability
A Lukezic, T Vojir, L ˇCehovin Zajc, J Matas, M Kristan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
7422017
A novel performance evaluation methodology for single-target trackers
M Kristan, J Matas, A Leonardis, T Vojíř, R Pflugfelder, G Fernandez, ...
IEEE transactions on pattern analysis and machine intelligence 38 (11), 2137 …, 2016
4352016
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
3362018
Robust scale-adaptive mean-shift for tracking
T Vojir, J Noskova, J Matas
Scandinavian Conference on Image Analysis, 652-663, 2013
2902013
A system for real-time detection and tracking of vehicles from a single car-mounted camera
C Caraffi, T Vojíř, J Trefný, J Šochman, J Matas
2012 15th international IEEE conference on intelligent transportation …, 2012
1682012
The thermal infrared visual object tracking VOT-TIR2015 challenge results
M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ...
Proceedings of the ieee international conference on computer vision …, 2015
1072015
The enhanced flock of trackers
T Vojíř, J Matas
Registration and Recognition in Images and Videos, 113-136, 2014
712014
Robustifying the flock of trackers
J Matas, T Vojíř
na, 2011
712011
Fucolot–a fully-correlational long-term tracker
A Lukežič, LČ Zajc, T Vojíř, J Matas, M Kristan
Asian Conference on Computer Vision, 595-611, 2018
392018
Online adaptive hidden markov model for multi-tracker fusion
T Vojir, J Matas, J Noskova
Computer Vision and Image Understanding 153, 109-119, 2016
352016
Now you see me: evaluating performance in long-term visual tracking
A Lukežič, LČ Zajc, T Vojíř, J Matas, M Kristan
arXiv preprint arXiv:1804.07056, 2018
272018
Pixel-wise object segmentations for the VOT 2016 dataset
T Vojir, J Matas
Research Report CTU-CMP-2017–01, Center for Machine Perception, Czech …, 2017
192017
The visual object tracking vot2015 challenge results
K Matej, J Matas, A Leonardis, M Felsberg, L Čehovin, G Fernández, ...
Workshop on the Visual Object Tracking Challenge (VOT, in conjunction with ICCV), 2015
182015
The vot2013 challenge: overview and additional results
M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, L Cehovin, ...
Czech Society for Cybernetics and Informatics, 2014
172014
The visual object tracking vot2014 challenge results,” 2014
M Kristan, R Pflugfelder, A Leonardis, J Matas, L Cehovin, G Nebehay, ...
ICCV Workshops, 564-586, 2014
92014
Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression
I Budvytis, M Teichmann, T Vojir, R Cipolla
arXiv preprint arXiv:1909.10239, 2019
82019
Discriminative correlation filter tracker with channel and spatial reliability
L Alan, T Vojíř, L Čehovin, J Matas, M Kristan
International Journal of Computer Vision 126 (7), 671-688, 2018
72018
Tracking with kernelized correlation filters
T Vojir
62017
Visual Object Tracking Challenge (VOT2013) Evaluation Kit
M Kristan, L Cehovin, T Vojir, G Negehay
Visual Object Tracking Challenge 19, 44, 2013
62013
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Articles 1–20